Selection response and genetic parameters for residual feed intake in Yorkshire swine1

2008 ◽  
Vol 86 (2) ◽  
pp. 287-298 ◽  
Author(s):  
W. Cai ◽  
D. S. Casey ◽  
J. C. M. Dekkers
Keyword(s):  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Selection Response

scholarly journals Claw health and feed efficiency as new selection criteria in the Czech Holstein cattle Krupová Z., Wolfová M., Krupa E., Přibyl J., Zavadilová L.

2018 ◽  
Vol 63 (No. 10) ◽  
pp. 408-418 ◽  
Author(s):  
Z. Krupová ◽  
M. Wolfová ◽  
E. Krupa ◽  
J. Přibyl ◽  
L. Zavadilová
Keyword(s):  
Feed Intake ◽  
Feed Efficiency ◽  
Disease Incidence ◽  
Selection Index ◽  
Residual Feed Intake ◽  
Selection Response ◽  
Holstein Cattle ◽  
Breeding Objective ◽  
Economic Weights ◽  
The Impact

The objective of this study was to calculate economic weights for ten current breeding objective traits and for four new traits characterising claw health and feed efficiency in Czech Holstein cattle and to investigate the impact of different selection indices on the genetic responses for these traits. Economic weights were estimated using a bio-economic model, while applying actual (2017) and predicted (2025) production and economic circumstances. For the actual situation, the economic weights of claw disease incidence were –100.1 € per case, and those of daily residual feed intake in cows, breeding heifers, and fattened animals were –79.37, –37.16, and –6.33 €/kg dry matter intake per day, respectively. In the predicted situation, the marginal economic weights for claw disease and feed efficiency traits increased on average by 38% and 20%, respectively. The new traits, claw disease incidence and daily residual feed intake, were gradually added to the 17 current Holstein selection index traits to improve the new traits. Constructing a comprehensive index with 21 traits and applying the general principles of the selection index theory, a favourable annual genetic selection response was obtained for the new traits (–0.008 cases of claw disease incidence and –0.006 kg of daily residual feed intake across all cattle categories), keeping the annual selection response of the most important current breeding objective traits at a satisfactory level (e.g., 73 kg of milk yield per lactation, 0.016% of milk fat). Claw health and feed efficiency should be defined as new breeding objectives and new selection index traits of local dairy population.

Is it useful to define residual feed intake as a trait in animal breeding programs?

2004 ◽  
Vol 44 (5) ◽  
pp. 405 ◽  
Author(s):  
J. H. J. van der Werf
Keyword(s):  
Feed Intake ◽  
Production Efficiency ◽  
Residual Feed Intake ◽  
Selection Response ◽  
Random Regression ◽  
Biological Efficiency ◽  
Multiple Trait ◽  
Selection Indices ◽  
Feed Utilisation ◽  
Definition Of

Residual feed intake is a linear function of feed intake, production and maintenance of liveweight, and as such is an attractive characteristic to use to represent production efficiency. The phenotypic and genetic parameters of residual feed intake can be written as a function of its constituent traits. Moreover, selection indices containing the constituent traits are equivalent with an index that includes residual feed intake. Therefore, definition of the term residual feed intake may be useful to interpret variation in production efficiency, but it does not help in obtaining a better selection response than selection on constituent traits alone. In fact, multiple trait genetic evaluation of constituent traits rather than residual feed intake is likely to be more accurate as this more appropriately accommodates different models for the constituent traits and missing data. For residual feed intake to reflect true biological efficiency in growing animals, it is important that feed intake and liveweight are accurately measured. Accounting for growth and body composition would significantly help in revealing between-animal variation in feed utilisation. Random regression models can be helpful in indicating variation in feed efficiency over the growth trajectory.

scholarly journals Simultaneous Bayesian estimation of genetic parameters for curves of weight, feed intake and residual feed intake in beef cattle

2021 ◽  
Author(s):  
Hadi Esfandyari ◽  
Just Jensen
Keyword(s):  
Feed Intake ◽  
Feed Efficiency ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Test Period ◽  
Random Regression ◽  
Farm Animals ◽  
Joint Analysis ◽  
Breeding Values ◽  
Covariance Functions

Abstract Rate of gain and feed efficiency are important traits in most breeding programs for growing farm animals. Rate of gain (GAIN) is usually expressed over a certain age period and feed efficiency is often expressed as residual feed intake (RFI), defined as observed feed intake (FI) minus expected feed intake based on live weight (WGT) and GAIN. However, the basic traits recorded are always WGT and FI and other traits are derived from these basic records. The aim of this study was to develop a procedure for simultaneous analysis of the basic records and then derive linear traits related to feed efficiency without retorting to any approximations. A bivariate longitudinal random regression model was employed on 13,791 individual longitudinal records of WGT and FI from 2,827 bulls of six different beef breeds tested for own performance in the period from 7 to 13 months of age. Genetic and permanent environmental covariance functions for curves of WGT and FI were estimated using Gibbs sampling. Genetic and permanent covariance functions for curves of GAIN were estimated from the first derivative of the function for WGT and finally the covariance functions were extended to curves for RFI, based on the conditional distribution of FI given WGT and GAIN. Furthermore, the covariance functions were extended to include GAIN and RFI defined over different periods of the performance test. These periods included the whole test period as normally used when predicting breeding values for GAIN and RFI for beef bulls. Based on the presented method, breeding values and genetic parameters for derived traits such as GAIN and RFI defined longitudinally or integrated over (parts of) of the test period can be obtained from a joint analysis of the basic records. The resulting covariance functions for WGT, FI, GAIN and RFI are usually singular but the method presented here do not suffer from the estimation problems associated with defining these traits individually before the genetic analysis. All results are thus estimated simultaneously, and the set of parameters are consistent.

Estimation of Genetic Parameters for Residual feed intake in Duroc pigs

2016 ◽  
Vol 50 (1) ◽  
pp. 147-153
Author(s):  
Na-Rae Song ◽  
◽  
Yong-Min Kim ◽  
Doo-Wan Kim ◽  
Soo-Jin Sa ◽  
...  
Keyword(s):  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Estimation Of Genetic Parameters

scholarly journals Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens

2019 ◽  
Vol 51 (1) ◽  
Author(s):  
Wossenie Mebratie ◽  
Per Madsen ◽  
Rachel Hawken ◽  
Hélène Romé ◽  
Danye Marois ◽  
...  
Keyword(s):  
Body Weight ◽  
Feed Intake ◽  
Broiler Chickens ◽  
Genetic Parameters ◽  
Body Weight Gain ◽  
Genetic Correlations ◽  
Residual Feed Intake ◽  
Nutrient Utilization ◽  
Male And Female ◽  
Males And Females

Abstract Background The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysis; (2) derive phenotypic and genetic residual feed intake (RFI) and estimate genetic parameters of the resulting traits; and (3) compute a Bayesian measure of direct and correlated superiority of a group selected on phenotypic or genetic residual feed intake. A total of 56,649 male and female broiler chickens were measured at one of two ages ($${\text{t}}$$ t or $${\text{t}} - 6$$ t - 6 days). BW, FI, and Gain of males and females at the two ages were considered as separate traits, resulting in a 12-trait model. Phenotypic RFI ($${\text{RFI}}_{\text{P}}$$ RFI P ) and genetic RFI ($${\text{RFI}}_{\text{G}}$$ RFI G ) were estimated from a conditional distribution of FI given BW and Gain using partial phenotypic and partial genetic regression coefficients, respectively. Results Posterior means of heritability for BW, FI and Gain were moderately high and estimates were significantly different between males and females at the same age for all traits. In addition, the genetic correlations between male and female traits at the same age were significantly different from 1, which suggests a sex-by-genotype interaction. Genetic correlations between $${\text{RFI}}_{\text{P}}$$ RFI P and $${\text{RFI}}_{\text{G }}$$ RFI G were significantly different from 1 at an older age but not at a younger age. Conclusions The results of the multivariate Bayesian analyses in this study showed that genetic evaluation for production and feed efficiency traits should take sex and age differences into account to increase accuracy of selection and genetic gain. Moreover, for communicating with stakeholders, it is easier to explain results from selection on $${\text{RFI}}_{\text{G}}$$ RFI G than selection on $${\text{RFI}}_{\text{P}}$$ RFI P , since $${\text{RFI}}_{\text{G}}$$ RFI G is genetically independent of production traits and it explains the efficiency of birds in nutrient utilization independently of energy requirements for production and maintenance.

scholarly journals Genetic parameters and halothane genotype effect for residual feed intake in Piétrain growing pigs

2011 ◽  
Vol 142 (1-3) ◽  
pp. 203-209 ◽  
Author(s):  
R. Saintilan ◽  
I. Mérour ◽  
S. Schwob ◽  
P. Sellier ◽  
J. Bidanel ◽  
...  
Keyword(s):  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Growing Pigs ◽  
Genotype Effect
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